Innovative Polarimetric Interferometric Synthetic Aperture Radar Land Cover Classification: Integrating Power, Polarimetric, and Interferometric Information for Higher Accuracy
Yifan Xu, Aifang Liu, Youquan Lin, Moqian Wang, Long Huang, Zuzhen Huang
TL;DR
This paper introduces a new radar method that combines multiple data types to classify land cover more accurately, achieving high accuracy in identifying different surfaces like vegetation and water.
Contribution
The novel method integrates power, polarimetric, and interferometric data to improve land cover classification accuracy and expand classification types.
Findings
The proposed method achieved an overall classification accuracy of 90.2%.
Vegetation was successfully subdivided into four categories using the vegetation ground elevation and anisotropy parameter.
Abstract
The Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) system is a combination of polarimetric SAR and interferometric SAR, which can simultaneously obtain the power information, polarimetric information, and interferometric information of land cover. Traditional land cover classification methods fail to fully utilize these information types, resulting in limited classification types and low accuracy. This paper proposes a PolInSAR land cover classification method that fuses power information, polarimetric information, and interferometric information, aiming to enrich the classification types and improve the classification accuracy. Firstly, the land cover is divided into strong scattering areas and weak scattering areas by using the power information to avoid the influence of weak scattering areas on the classification results. Then, the weak scattering areas are…
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Taxonomy
TopicsSynthetic Aperture Radar (SAR) Applications and Techniques · Advanced SAR Imaging Techniques · Cryospheric studies and observations